Bo Dong

Orcid: 0000-0001-7695-9072

Affiliations:
  • Xi'an Jiaotong University, National Engineering Lab for Big Data Analytics, Xi'an, China (PhD 2014)


According to our database1, Bo Dong authored at least 73 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Biased Complementary-Label Learning Without True Labels.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Markov Subsampling Based on Huber Criterion.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Cue prompt adapting model for relation extraction.
Connect. Sci., December, 2023

A deep penetration network for sentence classification.
Inf. Fusion, July, 2023

A Boundary Regression Model for Nested Named Entity Recognition.
Cogn. Comput., March, 2023

Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning.
IEEE Trans. Knowl. Data Eng., 2023

Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

An edge feature aware heterogeneous graph neural network model to support tax evasion detection.
Expert Syst. Appl., 2023

A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition.
CoRR, 2023

APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning.
CoRR, 2023

NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CLDG: Contrastive Learning on Dynamic Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Rethinking Sentiment Analysis under Uncertainty.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Computationally Efficient Approximations for Matrix-Based Rényi's Entropy.
IEEE Trans. Signal Process., 2022

Memory/Disk Operation Aware Lightweight VM Live Migration.
IEEE/ACM Trans. Netw., 2022

All-content text recognition method for financial ticket images.
Multim. Tools Appl., 2022

Improving unsupervised image clustering with spatial consistency.
Knowl. Based Syst., 2022

Boundary assembling method for joint entity and relation extraction.
Knowl. Based Syst., 2022

Be United in Actions: Taking Live Snapshots of Heterogeneous Edge-Cloud Collaborative Cluster With Low Overhead.
IEEE Internet Things J., 2022

Research on fast text recognition method for financial ticket image.
Appl. Intell., 2022

Regularized Modal Regression on Markov-Dependent Observations: A Theoretical Assessment.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Groups.
IEEE Trans. Vis. Comput. Graph., 2021

A financial ticket image intelligent recognition system based on deep learning.
Knowl. Based Syst., 2021

Computationally Efficient Approximations for Matrix-based Renyi's Entropy.
CoRR, 2021

A Keyword Query Approach Based on Community Structure of RDF Entity Graph.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

A Multi-label Propagation Community Detection Algorithm for Dynamic Complex Networks.
Proceedings of the Advanced Information Systems Engineering, 2021

2020
TaxThemis: Interactive Mining and Exploration of Suspicious Tax Evasion Group.
CoRR, 2020

DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching.
CoRR, 2020

Classification of Financial Tickets Using Weakly Supervised Fine-Grained Networks.
IEEE Access, 2020

Be Good Neighbors: A Novel Application Isolation Metric Used to Optimize the Initial Container Placement in CaaS.
IEEE Access, 2020

Ordinal Optimization-Based Performance Model Estimation Method for HDFS.
IEEE Access, 2020

A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

An Overlapping Community Detection Algorithm Based on Triangle Reduction Weighted for Large-Scale Complex Network.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

TTED-PU: A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

A Novel Tax Evasion Detection Framework via Fused Transaction Network Representation.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

NEUD-TRI: Network Embedding Based on Upstream and Downstream for Transaction Risk Identification.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

T-EGAT: A Temporal Edge Enhanced Graph Attention Network for Tax Evasion Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Identifying suspicious groups of affiliated-transaction-based tax evasion in big data.
Inf. Sci., 2019

Game Theoretical Secure Caching Scheme in Multihoming Edge Computing-Enabled Heterogeneous Networks.
IEEE Internet Things J., 2019

A Genetic Algorithm-Based Energy-Efficient Container Placement Strategy in CaaS.
IEEE Access, 2019

How Learner Support Services Affect Student Engagement in Online Learning Environments.
IEEE Access, 2019

TaxVis: a Visual System for Detecting Tax Evasion Group.
Proceedings of the World Wide Web Conference, 2019

LearnerExp: Exploring and Explaining the Time Management of Online Learning Activity.
Proceedings of the World Wide Web Conference, 2019

Visual Analysis of the Time Management of Learning Multiple Courses in Online Learning Environment.
Proceedings of the 30th IEEE Visualization Conference, 2019

ATTENet: Detecting and Explaining Suspicious Tax Evasion Groups.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

VUC: Visualizing Daily Video Utilization to Promote Student Engagement in Online Distance Education.
Proceedings of the ACM Conference on Global Computing Education, 2019

TEDM-PU: A Tax Evasion Detection Method Based on Positive and Unlabeled Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

ABR-HIC: Attention Based Bidirectional RNN for Hierarchical Industry Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Unsupervised Conditional Adversarial Networks for Tax Evasion Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Secure Content Delivery With Edge Nodes to Save Caching Resources for Mobile Users in Green Cities.
IEEE Trans. Ind. Informatics, 2018

IRTED-TL: An Inter-Region Tax Evasion Detection Method Based on Transfer Learning.
Proceedings of the 17th IEEE International Conference On Trust, 2018

VUSphere: Visual Analysis of Video Utilization in Online Distance Education.
Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018

Measuring Student's Utilization of Video Resources and Its Effect on Academic Performance.
Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018

Using Face Recognition to Detect "Ghost Writer" Cheating in Examination.
Proceedings of the E-Learning and Games - 12th International Conference, 2018

Container-VM-PM Architecture: A Novel Architecture for Docker Container Placement.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017
Mining Suspicious Tax Evasion Groups in a Corporate Governance Network.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

2015
PWLM<sup>3</sup>-based automatic performance model estimation method for HDFS write and read operations.
Future Gener. Comput. Syst., 2015

Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Optimal Resource Provisioning Approach based on Cost Modeling for Spark Applications in Public Clouds.
Proceedings of the Doctoral Symposium of the 16th International Middleware Conference, 2015

Multi-objective Optimization Algorithm Based on BBO for Virtual Machine Consolidation Problem.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

2014
Performance models and dynamic characteristics analysis for HDFS write and read operations: A systematic view.
J. Syst. Softw., 2014

Big Log Analysis for E-Learning Ecosystem.
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014

2012
An optimized approach for storing and accessing small files on cloud storage.
J. Netw. Comput. Appl., 2012

2010
Correlation Based File Prefetching Approach for Hadoop.
Proceedings of the Cloud Computing, Second International Conference, 2010

A Novel Approach to Improving the Efficiency of Storing and Accessing Small Files on Hadoop: A Case Study by PowerPoint Files.
Proceedings of the 2010 IEEE International Conference on Services Computing, 2010

2009
Jampots: A Mashup System towards an E-learning Ecosystem.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

An E-learning Ecosystem Based on Cloud Computing Infrastructure.
Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies, 2009

BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing.
Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009

Hadoop high availability through metadata replication.
Proceedings of the First International CIKM Workshop on Cloud Data Management, 2009

2008
A service-oriented approach to integration of e-learning Information and Resource Management Systems.
Proceedings of the 12th International Conference on CSCW in Design, 2008


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